If producers in 2024 had received the opportunity to use production capacities not loaded by the state for fulfilling foreign contracts, the potential amount of foreign currency inflows for the year ...

Abstract: The Travelling Salesman Problem (TSP) is a well known method for the optimisation problem that asks you to find the shortest route that visits each city in a set exactly once and then goes ...

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...

Tempus AI's diagnostics segment shows strong pricing power, with Oncology ASP rising from $1,630 to over $2,200. Read why TEM ...

Overview  AI now drives personalization, advertising, content, analytics, and customer engagementPredictive intelligence has replaced intuition-led marketi ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

According to Fateh Kaakai, a researcher in trustworthy AI at Thales cortAIx Labs and co-author of the study, the answer is ...

The team brings a strong balance of scientific and commercial expertise, has built a unique data foundation with a ...

Abstract: Medium-scale expensive multiobjective optimization problems (EMOPs) present a significant challenge to most existing surrogate-assisted evolutionary algorithms (SAEAs). Because the ...